ArticleSensors (Basel, Switzerland)2022
An Efficient and Effective Deep Learning-Based Model for Real-Time Face Mask Detection.
Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 42 citations in OpenAlex.
- IoT and ML-driven framework for managing infectious disease risks in communal spaces: a post-COVID perspective.Frontiers in public health · 2025Article
- Innovative Hybrid Approach for Masked Face Recognition Using Pretrained Mask Detection and Segmentation, Robust PCA, and KNN Classifier.Sensors (Basel, Switzerland) · 2023Article
- Article
- A Face Detection and Standardized Mask-Wearing Recognition Algorithm.Sensors (Basel, Switzerland) · 2023Article
- Study on Slagging Characteristics of Boiler Pre-combustion Chambers Based on Deep Learning.ACS omega · 2023Article
- Solar Power Prediction Using Dual Stream CNN-LSTM Architecture.Sensors (Basel, Switzerland) · 2023Article
- An Efficient Lightweight Hybrid Model with Attention Mechanism for Enhancer Sequence Recognition.Biomolecules · 2022Article
- An Efficient Pest Detection Framework with a Medium-Scale Benchmark to Increase the Agricultural Productivity.Sensors (Basel, Switzerland) · 2022Article
- Improving the Efficiency of Multistep Short-Term Electricity Load Forecasting via R-CNN with ML-LSTM.Sensors (Basel, Switzerland) · 2022Article
- Facial Emotion Recognition in Verbal Communication Based on Deep Learning.Sensors (Basel, Switzerland) · 2022Article
- An Effective Skin Cancer Classification Mechanism via Medical Vision Transformer.Sensors (Basel, Switzerland) · 2022Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Since December 2019, the COVID-19 pandemic has led to a dramatic loss of human lives and caused severe economic crises worldwide. COVID-19 virus transmission generally occurs through a small respiratory droplet ejected from the mouth or nose of an infected person to another person. To reduce and prevent the spread of COVID-19 transmission, the World Health Organization (WHO) advises the public to wear face masks as one of the most practical and effective prevention methods. Early face mask detection is very important to prevent the spread of COVID-19. For this purpose, we investigate several deep learning-based architectures such as VGG16, VGG19, InceptionV3, ResNet-101, ResNet-50, EfficientNet, MobileNetV1, and MobileNetV2. After these experiments, we propose an efficient and effective model for face mask detection with the potential to be deployable over edge devices. Our proposed model is based on MobileNetV2 architecture that extracts salient features from the input data that are then passed to an autoencoder to form more abstract representations prior to the classification layer. The proposed model also adopts extensive data augmentation techniques (e.g., rotation, flip, Gaussian blur, sharping, emboss, skew, and shear) to increase the number of samples for effective training. The performance of our proposed model is evaluated on three publicly available datasets and achieved the highest performance as compared to other state-of-the-art models.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.